Aménagement du paysage urbain : École d’architecture du paysage, 2003-2013
Bibliographic record
Abstract
This book presents a selection of student projects from the Urban Landscape Planning Workshop of the School of Landscape Architecture of the Université de Montréal, conducted from 2003 to 2013. Creative solutions for public spaces and structures students show a great sensitivity to the quality of the living environment of a growing and diversified urban population. Very imaginative, the landscape proposals illustrated by freehand or digital drawings are based on a strong position on the place of nature in the city, in line with today's environmental concerns.\n\nBy presenting one or two projects from each academic year, the book reports on the evolution of the themes of the development of urban free space; While brownfield sites are taking center stage in the early 2000s, the greening potential marks the 2010s, accompanied by new trends such as urban agriculture, green roofs, water harvesting, etc. Richly illustrated, the book aims to highlight, like all landscaping workshops specific to the training of landscape architects, the contribution of the teachings and the student production to the reflection on the landscapes of the city.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".